Diagnosis

Why doesn’t ChatGPT recommend my company?

Six hypotheses to investigate before rewriting everything: access, relevance, clarity, evidence, competition, or the test itself.

The short answer

Really Good GEO groups the possible reasons into six diagnostic categories. These are hypotheses to investigate, not verified causes for any specific omission: retrievability, entity classification, question coverage, evidence support, competing sources, and test design.

1. Hypothesis: the page is hard to access

Blocking, script-only content, authentication, errors, or weak internal linking can prevent a useful page from becoming a candidate source.

2. Hypothesis: the company is hard to classify

Atmospheric language may never state the category, audience, geography, product type, or relationship between the company and its offer.

3. Hypothesis: the page does not answer the question

A feature list is not automatically an answer to “Which product is suitable for this operating constraint?”

4. Hypothesis: the claim lacks support

Claims without a method, source, qualification, specification, or first-hand example are harder for a reader — and harder for a model synthesizing a citation — to defend. This is a Really Good GEO framework principle, not a measured engine rule.

5. Hypothesis: better sources exist

Competing sources — competitors, directories, publishers, authoritative reference works — may resolve the question more completely, and models synthesizing an answer are likely to draw from them instead. This is a plausibility argument, not a measurement.

6. Hypothesis: the test is misleading

One run is noisy. A branded question measures known-entity retrieval, not whether an unknown buyer would discover the company.

Find the responsible layer.

Run a readiness audit before deciding what to rewrite.

Audit a page